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Completed Evaluations
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We take the evaluation of our lectures, exercies, and labs very serious and we publish - as you can see below - all our evaluation results. Thus, we really appreciate if you take the time and fill out the evaluation forms that are distributed within our lectures. Thank you to those of you who already participated in one of our evaluations. Gerhard Schmidt |
Adaptive Filters
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2019 | 1.7 | 2.3 | 14 | ||||||
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Summer term 2017 | 1.5 | 1.7 | 13 | ||||||
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Summer term 2016 | 1.7 | 1.5 | 9 | ||||||
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Summer term 2015 | 1.9 | 2.0 | 4 | ||||||
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Summer term 2013 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2012 | 1.4 | 2.1 | 9 | ||||||
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Summer term 2011 | 1.4 | 1.7 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Advanced Digital Signal Processing
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2019/2020 | 1.2 | 1.2 | 5 | ||||||
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Winter term 2018/2019 | 1.3 | 1.9 | 9 | ||||||
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Winter term 2017/2018 | 1.6 | 1.9 | 14 | ||||||
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Winter term 2016/2017 | 1.3 | 1.4 | 1 | ||||||
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Winter term 2015/2016 | 1.3 | 1.4 | 6 | ||||||
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Winter term 2014/2015 | 1.5 | 2.3 | 4 | ||||||
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Winter term 2013/2014 | 2.1 | 2.2 | 8 | ||||||
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Winter term 2012/2013 | 2.0 | 2.4 | 5 | ||||||
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Winter term 2011/2012 | 2.2 | 3.3 | 3 | ||||||
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Winter term 2010/2011 | 1.3 | 1.9 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Digital Signal Processing
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2019 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2017 | 1.6 | 1.2 | 5 | ||||||
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Summer term 2016 | 1.3 | 1.7 | 3 | ||||||
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Summer term 2015 | 1.4 | 2.0 | 2 | ||||||
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Summer term 2014 | 1.6 | 2.0 | 7 | ||||||
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Summer term 2013 | 1.7 | 1.9 | 14 | ||||||
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Summer term 2012 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2011 | 1.7 | 2.1 | 4 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Pattern Recognition and Machine Learning
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2019/2020 | 1.7 | 2.1 | 9 | ||||||
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Winter term 2018/2019 | 1.5 | 2.1 | 10 | ||||||
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Winter term 2017/2018 | 1.6 | 1.7 | 16 | ||||||
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Winter term 2016/2017 | 1.6 | 1.8 | 11 | ||||||
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Winter term 2015/2016 | 1.5 | 2.1 | 5 | ||||||
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Winter term 2014/2015 | 1.4 | 1.4 | 8 | ||||||
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Winter term 2013/2014 | 1.6 | 1.8 | 5 | ||||||
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Winter term 2012/2013 | 1.8 | 1.8 | 5 | ||||||
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Winter term 2011/2012 | 1.5 | 1.9 | 4 | ||||||
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Winter term 2010/2011 | 1.7 | 2.1 | 3 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems I
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2019 | 1.8 | 1.9 | 26 | ||||||
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Summer term 2017 | 2.0 | 2.0 | 32 | ||||||
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Summer term 2016 | 1.6 | 1.8 | 20 | ||||||
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Summer term 2015 | 1.4 | 1.5 | 11 | ||||||
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Summer term 2014 | 1.4 | 1.5 | 14 | ||||||
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Summer term 2013 | 1.3 | 1.3 | 26 | ||||||
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Summer term 2012 | 1.9 | 1.9 | 21 | ||||||
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Summer term 2011 | 2.2 | 1.8 | 18 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems II
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2019/2020 | 2.1 | 1.8 | 25 | ||||||
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Winter term 2018/2019 | 2.3 | 2.2 | 25 | ||||||
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Winter term 2017/2018 | 2.0 | 1.9 | 28 | ||||||
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Winter term 2016/2017 | 1.8 | 2.1 | 16 | ||||||
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Winter term 2015/2016 | 1.4 | 1.6 | 20 | ||||||
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Winter term 2014/2015 | 1.8 | 1.9 | 10 | ||||||
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Winter term 2013/2014 | 1.5 | 1.4 | 26 | ||||||
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Winter term 2012/2013 | 1.3 | 1.3 | 26 | ||||||
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Winter term 2011/2012 | 2.2 | 1.7 | 8 | ||||||
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Winter term 2010/2011 | 2.1 | 1.7 | 14 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Our SONAR Simulator Supports Underwater Speech Communication Now
Due to the work of Owe Wisch and Alexej Namenas (and of the rest of the SONAR team, of course) our SONAR simulator supports now a real-time mode for testing underwater speech communication. A multitude of "subscribers" can connect to our virtual ocean and send and receive signals. The simulator consists of large (time-variant) convolution engine as well as a realistic noise simulation that takes parameters such as wind speed, etc. into account. In addition, linear and non-linear behaviour of the sending and receiving hardware can be simulated. However, no simuator is of course as beautiful as the real sea.